The analysis of design patters was interesting, and novel, but I would have liked to see some real world applications of the theory. Show me how it helps improve a project that's overloaded with design patterns. Can it help reduce the complexity of my code? Practical applications would take this presentation from good to great.
This talk could have benefited from some debugging exercises. Debugging koans, if you will. There were way too many esoteric quotes taken out of context from neurology and philosophy and forced into the topic of programming. Also, the white on light green slides were barely legible. On a positive note, I liked the trick of holding a cup of water to prevent hand waving.
Very informative talk.
Good session for clarify DI and IoC
Great concepts. Thanks!
Really great introduction to machine learning. Kayla did a very good job of showing enough info to get you excited about machine learning without losing you in the complexity.
Being a design patterns fan, this talk was very interesting approach/viewpoint to the whole design patterns matter for me. It was very informative and provoked critical thinking, but I kind of miss code examples. I don't know if you've already done this, but might be a good idea to do a 3-hour hands-on tutorial with code examples.